Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto66%66% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fe
Feed the Quine41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Feed the Quine
Hacker News1Dj
Django Filtered Feed40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Django Filtered Feed
Hacker News1GT
GTFS (transit) feed normalization41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GTFS (transit) feed normalization
Hacker News8Rundown32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your feed, synthesized.
Indie Hackers1aiAI
AI Feed26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Feed
Hacker News1Ha
Hackernews RSS Feed with Distilled, Inlined Content53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hackernews RSS Feed with Distilled, Inlined Content
Hacker News2I
I created a feed of interesting content for myself51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I created a feed of interesting content for myself
Hacker News10I
I built an iOS app to create my own content feed from API(s)42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built an iOS app to create my own content feed from API(s)
Hacker News4In
Infinijest, Video Feed Experiment33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Infinijest, Video Feed Experiment
Hacker News2Tr
Trendly–A Personalized Feed to Cut Through Content Overload39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Trendly–A Personalized Feed to Cut Through Content Overload
Hacker News1